Monte-Carlo rejection as a tool for measuring the energy landscape scaling of simple fluids

Abstract

A simple modification of the Monte-Carlo algortihm is proposed to explore the topography and the scaling of the energy landscape. We apply this idea to a simple hard-core fluid. The results for different packing fractions show a power law scaling of the landscape boundary, with a characteristic scale that separates the values of the scaling exponents. Finally, it is shown how the topology determines the freezing point of the system due to the increasing importance and complexity of the boundary.

References in corpus (5)

• The network topology of a potential energy landscape: A static scale-free network
• The potential energy landscape of a model glass former: thermodynamics, anharmonicities, and finite size effects
• Elastic moduli, dislocation core energy and melting of hard disks in two dimensions
• Glass transition temperature variation, cross-linking and structure in network glasses
• The Potential Energy Landscape and Mechanisms of Diffusion in Liquids

Cited by in corpus (3)

• Global perspectives on the energy landscapes of liquids, supercooled liquids, and glassy systems: The potential energy landscape ensemble
• The potential energy landscape and inherent dynamics of a hard-sphere fluid
• How the overlap of excluded volume determines the configurational energy landscape and "thermodynamics" in the "one to five hard disks in a box" system